scholarly journals Procedures for calculation of the albedo with OLI-Landsat 8 images: Application to the Brazilian semi-arid

2016 ◽  
Vol 20 (1) ◽  
pp. 3-8 ◽  
Author(s):  
Bernardo B. da Silva ◽  
Alexandra C. Braga ◽  
Célia C. Braga ◽  
Leidjane M. M. de Oliveira ◽  
Suzana M. G. L. Montenegro ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Land Use ◽  
Surface Albedo ◽  
Elevation Angle ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Image Metadata ◽  
Degree Of Differentiation ◽  
Semi Arid ◽  
Calculation Procedures

ABSTRACT The surface albedo plays an important role in the exchanges of energy and mass in the planetary boundary layer. Therefore, changes in albedo affect the balance of radiation and energy at the surface, which can be detected with its monitoring. Albedo determination has been performed through various sensors, but there is not yet any publication dealing with albedo calculation procedures using OLI (Operational Land Imager) - Landsat 8 images. The objective of the study is to present the procedures for computing the albedo with OLI images and map it in irrigated areas of the São Gonçalo Irrigated District, PB, Brazil. Images of the year 2013, path 215 and row 65, were selected. The data necessary for calculating the albedo were extracted from each image metadata: additive and multiplicative terms of radiance and reflectance, and sun elevation angle. There were large differences between the albedo values of irrigated plots, water bodies and native vegetation. The albedo obtained with OLI images provides a higher degree of differentiation of the various types of land use, due to the substantial increase in the radiometric resolution of this new sensor.

scholarly journals Anthropic expansion of Paraty in Serra da Bocaina National Park, Mata Atlântica Biome

2021 ◽  
Vol 24 ◽  
Author(s):  
Camila Coelho Welerson ◽  
Winne Nayadini Barão ◽  
Brunna Araújo Quireli ◽  
Vanêssa Lopes de Faria ◽  
Nívea Adriana Dias Pons ◽  
...  
Keyword(s):  
Land Use ◽  
Vegetation Cover ◽  
National Park ◽  
Management Plan ◽  
Park Management ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Master Plan ◽  
Municipal Planning ◽  
Management Plans

Abstract This paper analyzed the anthropic expansion of the municipality of Paraty-RJ in relation to the Serra da Bocaina National Park. In addition to the bibliographic and documentary revision of the Municipal Master Plan and the Park Management Plan, geoprocessing tools were used for chronological analyzes of land use and occupation change in 2001, 2006 and 2018, using images from the satellite Landsat 5 and Landsat 8. It was verified the growth of the anthropic occupation in a diffuse way in relation to the Park, without respect to the municipal planning, reflecting in the decrease of the native vegetation cover. Both the Master and Management Plans have been inefficient in terms of their objectives, justifying the need for improvements in Paraty and Park management through the responsible agencies.

scholarly journals VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION

2021 ◽  
Vol 34 (3) ◽  
pp. 670-681
Author(s):  
EFRAIM MARTINS ARAÚJO ◽  
GEORGE LEITE MAMEDE
Keyword(s):  
Supervised Classification ◽  
Spectral Response ◽  
Kappa Coefficient ◽  
High Spectral Resolution ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Method Of Maximum Likelihood ◽  
Remotely Piloted Aircraft ◽  
Hyperion Image ◽  
Semi Arid

ABSTRACT The work evaluated the potential for discrimination of land use and occupation around reservoirs, using spectral information obtained by multispectral, hyperspectral satellites and images obtained with an ARP (remotely piloted aircraft). The research analyzed the performance of different images classification techniques applied to multispectral and hyperspectral sensors for the detection and differentiation of soil classes around the Paus Brancos and Marengo reservoirs, located in Settlement 25 of Maio. The classes identified based on surveys in campaigns carried out in 2014 and 2015 around the reservoirs were: water, macrophytes, exposed soil, native vegetation, agriculture, thin and ebbing vegetation, in addition to the cloud and cloud shadow targets. The performance of the classifiers applied to the image of the Hyperion sensor was, in general, superior to those obtained in Landsat 8 image, which can be explained by the high spectral resolution of the first, which facilitates the differentiation of targets with similar spectral response. For validation of the supervised classification method of Maximum Likelihood, Landsat 8 (08/24/2015) and Hyperion (08/28/2015) images were used. The results of the application indicated a good performance of the classifier associated with the RGB composition of the chosen Hyperion image (bands R - 51, G - 161, B - 19) in the detection of the classes around this reservoir, producing a Kappa coefficient of 0.83. The availability of data from the Hyperion sensor is very restricted, which hinders the development of continued research, thus the use of images surpassed by RPA is extremely viable.

scholarly journals TOWARDS A REMOTE SENSING BASED ASSESSMENT OF LAND SUSCEPTIBILITY TO DEGRADATION: EXAMINING SEASONAL VARIATION IN LAND USE-LAND COVER FOR MODELLING LAND DEGRADATION IN A SEMI-ARID CONTEXT

2016 ◽  
Vol III-8 ◽  
pp. 137-144 ◽  
Author(s):  
Gofamodimo Mashame ◽  
Felicia Akinyemi
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Degradation ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Bare Land ◽  
Level I ◽  
The Impact ◽  
Semi Arid

Land degradation (LD) is among the major environmental and anthropogenic problems driven by land use-land cover (LULC) and climate change worldwide. For example, poor LULC practises such as deforestation, livestock overstocking, overgrazing and arable land use intensification on steep slopes disturbs the soil structure leaving the land susceptible to water erosion, a type of physical land degradation. Land degradation related problems exist in Sub-Saharan African countries such as Botswana which is semi-arid in nature. LULC and LD linkage information is still missing in many semi-arid regions worldwide.Mapping seasonal LULC is therefore very important in understanding LULC and LD linkages. This study assesses the impact of seasonal LULC variation on LD utilizing Remote Sensing (RS) techniques for Palapye region in Central District, Botswana. LULC classes for the dry and rainy seasons were classified using LANDSAT 8 images at Level I according to the Food and Agriculture Organization (FAO) International Organization of Standardization (ISO) code 19144. Level I consists of 10 LULC classes. The seasonal variations in LULC are further related to LD susceptibility in the semi-arid context. The results suggest that about 985 km² (22%) of the study area is susceptible to LD by water, major LULC types affected include: cropland, paved/rocky material, bare land, built-up area, mining area, and water body. Land degradation by water susceptibility due to seasonal land use-land cover variations is highest in the east of the study area where there is high cropland to bare land conversion.

scholarly journals INFLUENCE OF FOREST COVERAGE IN THE SURFACE ALBEDO

FLORESTA ◽  
2019 ◽  
Vol 50 (1) ◽  
pp. 1011
Author(s):  
Elisiane Alba ◽  
Juliana Marchesan ◽  
Mateus Sabadi Schuh ◽  
José Augusto Spiazzi Favarin ◽  
Emanuel Araújo Silva ◽  
...  
Keyword(s):  
Land Use ◽  
Energy Balance ◽  
Land Cover ◽  
Surface Albedo ◽  
Surface Energy Balance ◽  
Native Forest ◽  
Landsat 8 ◽  
Climatic Variable ◽  
Climatic Variations ◽  
Forest Coverage

The surface albedo controls the energy balance between the surface and the atmosphere, being a primordial variable to identify climatic variations. The objective of this study was to evaluate the changes of the surface albedo in different Land Use and Land Cover in the Atlantic Forest biome from images TM/Landsat 5 and OLI/Landsat 8, verifying its variation in 30 years. The images used were path-row 221-080, which covered the Floresta Nacional de São Francisco de Paula on the dates of 1987 and 2017. The albedo was obtained by the method of the Surface Energy Balance Algorithm for Land, while the mapping of Land Use and Land Cover was performed by the Bhattacharyya algorithm, identifying four thematic classes. Finally, the albedo was crossed with the thematic classes, evidencing their variation in function of the changes in the land cover. The surface albedo ranged from 6 to 22%, but the year 1987 concentrated albedo values higher than in 2017. The native forest presented superior albedo to the Forest Plantations in both dates due to the structure of the canopy of this class. The spatial analysis of the albedo exposes the relation of this climatic variable to the cover of the terrestrial surface. Thus changes in the vegetation cover cause alterations in the albedo, influencing changes in the radiation and atmospheric fluxes.

scholarly journals TOWARDS A REMOTE SENSING BASED ASSESSMENT OF LAND SUSCEPTIBILITY TO DEGRADATION: EXAMINING SEASONAL VARIATION IN LAND USE-LAND COVER FOR MODELLING LAND DEGRADATION IN A SEMI-ARID CONTEXT

2016 ◽  
Vol III-8 ◽  
pp. 137-144 ◽  
Author(s):  
Gofamodimo Mashame ◽  
Felicia Akinyemi
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Degradation ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Bare Land ◽  
Level I ◽  
The Impact ◽  
Semi Arid

Land degradation (LD) is among the major environmental and anthropogenic problems driven by land use-land cover (LULC) and climate change worldwide. For example, poor LULC practises such as deforestation, livestock overstocking, overgrazing and arable land use intensification on steep slopes disturbs the soil structure leaving the land susceptible to water erosion, a type of physical land degradation. Land degradation related problems exist in Sub-Saharan African countries such as Botswana which is semi-arid in nature. LULC and LD linkage information is still missing in many semi-arid regions worldwide.Mapping seasonal LULC is therefore very important in understanding LULC and LD linkages. This study assesses the impact of seasonal LULC variation on LD utilizing Remote Sensing (RS) techniques for Palapye region in Central District, Botswana. LULC classes for the dry and rainy seasons were classified using LANDSAT 8 images at Level I according to the Food and Agriculture Organization (FAO) International Organization of Standardization (ISO) code 19144. Level I consists of 10 LULC classes. The seasonal variations in LULC are further related to LD susceptibility in the semi-arid context. The results suggest that about 985 km² (22%) of the study area is susceptible to LD by water, major LULC types affected include: cropland, paved/rocky material, bare land, built-up area, mining area, and water body. Land degradation by water susceptibility due to seasonal land use-land cover variations is highest in the east of the study area where there is high cropland to bare land conversion.

scholarly journals Influence of Climatic Seasonality on a Survey of Land Use and Cover in the Semi-arid Region

2018 ◽  
Vol 10 (11) ◽  
pp. 311
Author(s):  
Anthony Rafael Soares Maia ◽  
Fernando Bezerra Lopes ◽  
Eunice Maia de Andrade
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Arid Region ◽  
Spectral Response ◽  
Human Action ◽  
Landsat 8 ◽  
Semi Arid Region ◽  
Classification Of Images ◽  
Semi Arid ◽  
Land Use And Cover

The dynamics of land use and land cover in watersheds of the Brazilian semi-arid region is not only influenced by human action, but also by the climatic seasonality of the region. Knowledge of the relationship between surveys of land use and land cover using geotechnology and the climatic seasonality of semi-arid regions is necessary. The aim of this study was to map and classify land use and cover in the watershed of the Orós reservoir (WSOR) with the help of geotechnology, and to identify the influence exerted by the climate on variations in the area of each class. The survey of land use and cover was carried out by means of the MAXVER method of classification of images from 2003, 2005, 2008 and 2013 from the LANDSAT 5 and LANDSAT 8 satellites. The areas of each class displayed dynamics influenced not only by human action but also by such factors as climate, topography and plant physiology. Years with high rainfall favoured classes such as thin scrub and dense scrub, with the opposite being seen in years considered as dry, when there was a considerable increase in areas of the anthropogenic class. Changes in the areas are caused by alterations in the deciduous vegetation; with leaf-fall during the dry season, these areas come to have the spectral response of areas with similar characteristics to the anthropogenic class. More-elevated regions favoured the presence of the dense-scrub class due to the microclimate and to the greater difficulty such areas present to human action.

scholarly journals Mudanças do Uso e Ocupação do Solo e Degradação Eco-Ambiental Usando Imagens Orbitais: O Estudo de Caso da Bacia do Rio Bacanga, São Luís (MA) (Land Use/Cover Change and Environmental Degradation Based on Orbital Images: A Case Study of Bacanga River...)

2016 ◽  
Vol 9 (1) ◽  
pp. 265
Author(s):  
Janilci Serra Silva ◽  
Richarde Marques da Silva ◽  
Alexandro Medeiros Silva
Keyword(s):  
Land Use ◽  
Environmental Degradation ◽  
Urban Growth ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Urban Structures ◽  
Vegetation Indexes ◽  
Green Areas ◽  
Land Use And Cover

As mudanças no uso e ocupação do solo, provocadas pelas ações antrópicas, têm provocado grandes alterações nas paisagens. Esses impactos podem ser estudados pelo monitoramento eco-ambiental utilizando-se informações espaço-temporais das modificações ocorridas na paisagem. Este artigo analisa as mudanças do uso e ocupação do solo e a degradação eco-ambiental na Bacia do Bacanga, com base em índices de vegetação  entre os anos de 1990 a 2014. Neste estudo foram utilizadas duas cenas, uma satélite TM/Landsat 5 e outra do OLI/Landsat 8, para os dias 9 de setembro de 1990 e 2 de setembro de 2014, respectivamente. O processamento das imagens foi desenvolvido através do software ArcGIS 10.1. Para isto foram utilizados mapas e histogramas para auxiliar na interpretação das informações apresentadas. Os resultados mostraram que os maiores valores de NDVI e SAVI  ocorrem na porção central da bacia. A presença das construções civis aumentaram as áreas com baixos valores de NDVI por conta da retirada da cobertura da vegetação nativa. Ao longo dos 24 anos decorridos de 1990 a 2014, a supressão de áreas verdes na bacia e sua substituição por estruturas urbanas como asfalto e concreto, resultaram na maior degradação eco-ambiental, resultando no crescimento urbano e das classes vegetação arbustiva/arbórea, Solo exposto e na diminuição das classes vegetação rasteira/arbustiva e água.   A B S T R A C T The changes in the land use and cover, caused by human actions, have created major impacts on the landscapes. These impacts can be studied by monitoring the eco-environmental using spatial and temporal information of the changes occurring in the landscape. This paper analyze the land use and cover changes and eco-environmental degradation in Bacanga River basin using vegetation indexes (NDVI, SAVI and IAF) between 1990 and 2014. In this study two scenes, one of TM/Landsat 5 and other OLI/Landsat 8 of September 9 1990 and September 2 2014 were used. The image processing was developed through the software ArcGis 10.1. For this purpose, maps and histograms to assist in the interpretation of the information presented were generated. The results showed that the highest values o NDVI, SAVI and IAF occur in the central portion of basin. The presence of civilian buildings increased the areas with low NDVI values because of the withdrawal of the coverage of native vegetation. During the 24 years which have passed 1990-2014, suppression of green areas in the basin and its replacement by urban structures such as concrete and asphalt, resulted in improved eco-environmental degradation, resulting in the urban growth and the class shrubland, beyond of decreasing the classes rangebrush and water Keywords: GIS, urban growth, vegetation indexes.  

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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